Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

JULY 20, 2023

In here, we will discuss the definition of image encryption, its applications, its importance in cybersecurity, security challenges associated with it, some popular tools to do photo encryption online, and more. Consider employing additional techniques, such as metadata encryption or steganalysis, to address these concerns.

Medical 40

Medical Algorithm Metadata Cloud Storage 40

Tweag

APRIL 19, 2023

Thankfully, cloud-based infrastructure is now an established solution which can help do this in a cost-effective way. As a simple solution, files can be stored on cloud storage services, such as Azure Blob Storage or AWS S3, which can scale more easily than on-premises infrastructure. But as it turns out, we can’t use it.

Medical 60

Medical Process Cloud Bytes 60

AltexSoft

OCTOBER 21, 2022

Though Kafka is not the only option available in the market, it definitely stands out from other brokers and deserves special attention. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Though these services cost money, they definitely save you time and nerves. ZooKeeper issue.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

AltexSoft

JULY 29, 2022

A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Instruments like Apache ZooKeeper and Apache Oozie help better coordinate operations, schedule jobs, and track metadata across a Hadoop cluster. Definitely, not.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

SEPTEMBER 29, 2023

AWS Storage Services Another topic is AWS storage services, as they are widely used by businesses worldwide. Below are some of the most prominent types of storage in AWS: Object storage: First, the AWS storage type is the vast scalability and metadata features of object storage, which are often used by cloud-based applications.

AWS 52

AWS Amazon Web Services Cloud Computing Certification 52

Netflix Tech

DECEMBER 14, 2018

NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries. In NMDB we think of the media metadata universe in units of “DataStores”. A specific media analysis that has been performed on various media assets (e.g.,

Media 96

Media Database Metadata Data Schemas 96

Confluent

MAY 29, 2019

In this way, registration queries are more like regular data definition language (DDL) statements in traditional relational databases. Rigid file naming standards that had built-in dependency metadata. So I’ll need to DROP the table first, right? Table created. 6 objects dropped. 6 objects created.

Kafka 96

Kafka Management Bytes SQL 96

phData: Data Engineering

SEPTEMBER 27, 2024

But with modern cloud storage solutions and clever techniques like log compaction (where obsolete entries are removed), this is becoming less and less of an issue. The benefits of log-based approaches often far outweigh the storage costs. This means you can have your open-source cake and eat it in the cloud too!

Data 52

Data Raw Data Data Lake Architecture 52

ProjectPro

AUGUST 11, 2021

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. Metadata contains information such as the source of data, how to access the data, users who may require the data and information about the data mart schema.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

NOVEMBER 30, 2021

This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. Cloud storage is the best option for storing all the processed data, and it is secure and easily accessible, and no infrastructure is required. If not, then don't worry.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Rockset

JUNE 7, 2021

The CDC system then periodically polls the source file system to check for any new files using the file metadata it stored earlier as a reference. Any new files are then captured and their metadata stored too. Along with the data, the path of the file and the source system it was captured from is also stored.

IT 40

IT Kafka Database MongoDB 40

Confluent

OCTOBER 23, 2019

Suppose, for example, you are writing a source connector to stream data from a cloud storage provider. When we pass the map of original values to the parent AbstractConfig class, the configuration properties will be parsed into their appropriate types according to the configuration definition.

Kafka 15

Kafka Cloud Storage Cloud Database 15

AltexSoft

MAY 12, 2023

Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Towards Data Science

NOVEMBER 4, 2023

Typical Airflow architecture includes a schduler based on metadata, executors, workers and tasks. For example, we can run ml_engine_training_op after we export data into the cloud storage (bq_export_op) and make this workflow run daily or weekly. """DAG definition for recommendation_bespoke model training."""

Data Engineering 81

Data Engineering Data Engineer Engineering BI 81

Edureka

JULY 3, 2024

Publish: Transformed data is then published either back to on-premises sources like SQL Server or kept in cloud storage. ADF’s integration with Purview automatically captures metadata about data movement and transformations, creating a comprehensive map of data flow across the enterprise.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

AltexSoft

MARCH 30, 2023

Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names. Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake BI Google Cloud 64